Designing an Agentic AI System — MCP Servers

Overview

Demonstrates how to build agentic AI systems using CrewAI, integrating with REST APIs, PostgreSQL, and document storage. This MCP server integrates with the Model Context Protocol to provide AI agents and applications with structured access to Designing an Agentic AI System's capabilities. The server enables seamless interaction between LLMs and the underlying services through standardized protocols. Key integration points include: - Direct API access through MCP tools - Structured data exchange with AI agents - Real-time interaction capabilities - Standardized protocol compliance The server is designed to work with popular MCP clients like Claude Desktop, Cursor, and other AI development environments.

Key Features

Use Cases